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Field
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We are looking for a Postdoctoral Researcher/Fellow to conduct cutting-edge research at the interface of artificial intelligence, computational chemistry, and energy materials. The role will focus
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the selected candidate to lead and pursue high-quality research on intelligent transportation systems, including but not limited to: • Traffic flow theory, • Traffic control in urban and highway contexts
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, environmental hazards, and human health using integrated observations, forecasting systems, artificial intelligence, and statistical approaches. The team works across multiple spatial and temporal scales
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limits of Symbolic Regression (SR). SR is an emerging area of artificial intelligence that discovers interpretable mathematical relationships directly from data. You will lead the algorithmic and
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early-career researchers whose work is redefining how art history is studied in the age of artificial intelligence and digital technologies. Applications are invited from researchers working on any aspect
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electronics-free and hybrid soft robotic intelligence through fluidic computation, enabling soft robots to perform programmable control, memory storage, communication, decision-making, and autonomous behaviours
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and computational modeling applications in drug development and use of artificial intelligence for data mining. You will gain experience in regulatory toxicology assessment, computational modeling
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Description The University of Rochester’s Goergen Institute for Data Science and Artificial Intelligence (GIDS-AI) -- https://www.hajim.rochester.edu/dsc/index.html -- invites applications
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, combining plasma proteomics with artificial intelligence may enable the minimally invasive assessment of organ-specific biological age and functional decline. This project aims to develop organ-age and organ
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. Artificial intelligence (AI) is evolving rapidly, and we recognise its growing role in professional work. Applicants may use AI tools to support preparation of their application, for example to research